UKY DENTAL COBRE: ORAL INFECTIONS: IMPACT ON GESTATIONAL DIABETES

英国牙科 COBRE：口腔感染：对妊娠糖尿病的影响

• 批准号: 7610652
• 负责人: Karen F. Novak
• 金额: $ 20.73万
• 依托单位: UNIVERSITY OF KENTUCKY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7610652
• 关键词: Acute; Basic Science; Birth; Chronic; Clinical; Clinical Data; Computer Retrieval of Information on Scientific Projects Database; Data; Dental; Dental Plaque; Enrollment; Evaluation; Fetal Growth; Funding; Gestational Diabetes; Grant; Health; Immune response; Infection; Inflammation; Inflammatory; Institution; Laboratories; Low Birth Weight Infant; Non-Insulin-Dependent Diabetes Mellitus; Oral health; Outcome; Patients; Periodontal Diseases; Pregnancy; Pregnant Women; Premature Birth; Research; Research Personnel; Resources; Risk; Sampling; Serum; Severities; Source; Testing; United States National Institutes of Health; Woman; fetal; insight; microbial; mortality; neonatal morbidity; neonate; oral infection; prospective

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Gestational Diabetes Mellitus (GDM) occurs in approximately 5% of pregnant women with onset during pregnancy, and subsiding after parturition. Importantly nearly 50% of women with GDM will eventually develop type 2 diabetes mellitus within 3-5 years post-partum. Moreover, acute and chronic neonatal morbidity and mortality have been described in neonates delivered by women with GDM. Substantial evidence is available documenting that the severity of periodontal disease is increased in patients with type 2 diabetes but no data are available on the effects of GDM on periodontal health. In addition, substantial data is accruing to support earlier observations that the infection and inflammation associated with periodontal disease may have a negative impact on the period of gestation and on fetal growth leading to the birth of preterm, low birth weight infants. Our GENERAL HYPOTHESIS is that women with GDM are at higher risk for developing more severe periodontal disease than women without GDM and that the combination of GDM and periodontal disease will be associated with an increased negative impact on maternal and fetal health. This hypothesis will be tested by collecting (a) clinical oral health data on periodontal status, as well as maternal and fetal outcomes data (Specific Aim 1), (b) microbial dental plaque samples (Specific Aim 2) and (c) serum samples in women with GDM and in non-GDM controls (Specific Aim 3). These prospective clinical data will be correlated with basic science laboratory evaluations of the microflora and host response to provide insight into the pathogenic mechanisms contributing to negative maternal and fetal outcomes associated with inflammatory periodontal disease and GDM. To date, 25 subjects have enrolled in the study. The appropriate data have been collected on all subjects. Enrollment will continue in the coming year. Collected data will be subjected to statistical analyses at the mid-point and at the end of the study.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 大约 5% 的孕妇会患妊娠期糖尿病 (GDM)，妊娠期间发病，分娩后消退。 重要的是，近 50% 的 GDM 女性最终会在产后 3-5 年内患上 2 型糖尿病。 此外，GDM 妇女所生新生儿的急性和慢性新生儿发病率和死亡率已有报道。 大量证据表明 2 型糖尿病患者牙周病的严重程度有所增加，但尚无关于 GDM 对牙周健康影响的数据。 此外，越来越多的数据支持早期的观察结果，即与牙周病相关的感染和炎症可能对妊娠期和胎儿生长产生负面影响，导致早产、低出生体重婴儿的出生。 我们的一般假设是，与没有 GDM 的女性相比，患有 GDM 的女性患更严重牙周病的风险更高，并且 GDM 和牙周病的结合将增加对孕产妇和胎儿健康的负面影响。 该假设将通过收集 (a) 牙周状况的临床口腔健康数据以及孕产妇和胎儿结局数据（具体目标 1）、(b) 微生物牙菌斑样本（具体目标 2）和 (c) GDM 女性和非 GDM 对照者的血清样本（具体目标 3）来检验。 这些前瞻性临床数据将与微生物区系和宿主反应的基础科学实验室评估相关联，以深入了解与炎症性牙周病和 GDM 相关的母体和胎儿不良结局的致病机制。 迄今为止，已有 25 名受试者参加了这项研究。 已收集所有受试者的适当数据。 明年将继续招生。 收集的数据将在研究中点和结束时进行统计分析。